A powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data
Project description
Iris is a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data
For documentation see the latest developer version or the most recent released stable version.
#ShowYourStripes
Graphics and Lead Scientist: Ed Hawkins, National Centre for Atmospheric Science, University of Reading.
Data: Berkeley Earth, NOAA, UK Met Office, MeteoSwiss, DWD, SMHI, UoR, Meteo France & ZAMG.
#ShowYourStripes is distributed under a
Creative Commons Attribution 4.0 International License
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
scitools-iris-3.5.0rc0.tar.gz
(7.4 MB
view hashes)
Built Distribution
Close
Hashes for scitools_iris-3.5.0rc0-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ba5a7324114e58b3d8fe0df928c4556ec6cbf6f515d8519d5ad23ca0b17c2a3b |
|
| MD5 | 75b82b807d8ab908d23d71f71e61b786 |
|
| BLAKE2b-256 | 1cbb22e9734b01c103cc668708fb05a80371eb50ebb420d39874cddce3e0ca36 |
